forecasted
Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)
National Institutes of Health · RFA-DK-28-116
See source for award amount
Not specified
Public housing authorities/Indian housing authorities, Independent school districts, Public and State controlled institutions of higher education, Private institutions of higher education, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Others (see text field entitled "Additional Information on Eligibility" for clarification), State governments, City or township governments, Native American tribal organizations (other than Federally recognized tribal governments), Native American tribal governments (Federally recognized), Small businesses, Special district governments, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, County governments, For profit organizations other than small businesses
Geographic eligibility and all attachment-specific conditions require review of the original announcement.
Eligibility details
Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-domestic (non-U.S.) Entities (Foreign Institutions).
Matching funds & resources
Source matching-funds field: Not Required.
Matching funds and leveraged resources are different requirements. Read the description and reviewed rules below before determining resource commitments.
About this opportunity
Type 1 diabetes (T1D) is a complex disease involving interactions among many different cell types, tissues, organs and biological processes. Genetics, the environment, and lifestyle all play a role in disease development and progression. Over the past two decades, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) has supported major T1D research consortia covering basic, translational, and clinical research. Each consortium has focused on different aspects of T1D, such as specific organs, stages of disease or clinical outcomes. Together, these consortia have collected large longitudinal and multimodal datasets using standardized protocols and coordinated studies. While individual consortia have improved our understanding of specific areas, combining their work offers a rare opportunity to see how different biological processes interact to drive T1D development and progression. This integrated view can answer fundamental questions about T1D biology that cannot be answered using individual datasets or studies alone. Recent advances in artificial intelligence (AI) now make it possible to integrate these complementary datasets and study T1D across various tissues, disease stages, and biological levels. Building on these resources, NIDDK will support a coordinated, milestone-driven research project to answer fundamental questions about T1D biology and accelerate the development of personalized medicine. The project will combine multimodal human pancreas and clinical datasets to better understand how biological processes interact as T1D develops and progresses. The research will generate new insights into T1D biology, help us understand the different forms and stages of T1D, identify biomarkers, and inform new approaches for disease prevention, intervention, and treatment. To support the research, the project will develop and test advanced multimodal AI models. It will also develop AI-enabled research workflows, new methods to integrate data, and privacy-preserving synthetic datasets.
Funding geography: Not specified — review source. A funder’s address does not establish eligibility.
Review original source ↗Funding instrument: Cooperative Agreement. Issuing jurisdiction: Federal. This is not a geographic eligibility determination.
Source fields and evidence
id: 363678
Source ↗ · id
opportunityNumber: RFA-DK-28-116
Source ↗ · opportunityNumber
opportunityTitle: Multimodal AI to Accelerate Precision Medicine for Type 1 Diabetes (U01- Clinical Trials Not Allowed)
Source ↗ · opportunityTitle
revision: 0
Source ↗ · revision
agencyDetails: {"code":"NIH","seed":"HHS-NIH11","agencyName":"National Institutes of Health","agencyCode":"HHS-NIH11","topAgencyCode":"HHS"}
Source ↗ · agencyDetails
owningAgencyCode: HHS-NIH11
Source ↗ · owningAgencyCode
cfdas: [{"id":435168,"opportunityId":363678,"cfdaNumber":"93.847","programTitle":"Diabetes, Digestive, and Kidney Diseases Extramural Research"}]
Source ↗ · cfdas
forecastDesc: <p>Type 1 diabetes (T1D) is a complex disease involving interactions among many different cell types, tissues, organs and biological processes. Genetics, the environment, and lifestyle all play a role in disease development and progression. Over the past two decades, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) has supported major T1D research consortia covering basic, translational, and clinical research. Each consortium has focused on different aspects of T1D, such as specific organs, stages of disease or clinical outcomes. Together, these consortia have collected large longitudinal and multimodal datasets using standardized protocols and coordinated studies. While individual consortia have improved our understanding of specific areas, combining their work offers a rare opportunity to see how different biological processes interact to drive T1D development and progression. This integrated view can answer fundamental questions about T1D biology that cannot be answered using individual datasets or studies alone. </p><p>Recent advances in artificial intelligence (AI) now make it possible to integrate these complementary datasets and study T1D across various tissues, disease stages, and biological levels. Building on these resources, NIDDK will support a coordinated, milestone-driven research project to answer fundamental questions about T1D biology and accelerate the development of personalized medicine. </p><p>The project will combine multimodal human pancreas and clinical datasets to better understand how biological processes interact as T1D develops and progresses. The research will generate new insights into T1D biology, help us understand the different forms and stages of T1D, identify biomarkers, and inform new approaches for disease prevention, intervention, and treatment. To support the research, the project will develop and test advanced multimodal AI models. It will also develop AI-enabled research workflows, new methods to integrate data, and privacy-preserving synthetic datasets. </p>
Source ↗ · forecastDesc
applicantTypes: [{"id":"08","description":"Public housing authorities/Indian housing authorities"},{"id":"05","description":"Independent school districts"},{"id":"06","description":"Public and State controlled institutions of higher education"},{"id":"20","description":"Private institutions of higher education"},{"id":"12","description":"Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education"},{"id":"25","description":"Others (see text field entitled \"Additional Information on Eligibility\" for clarification)"},{"id":"00","description":"State governments"},{"id":"02","description":"City or township governments"},{"id":"11","description":"Native American tribal organizations (other than Federally recognized tribal governments)"},{"id":"07","description":"Native American tribal governments (Federally recognized)"},{"id":"23","description":"Small businesses"},{"id":"04","description":"Special district governments"},{"id":"13","description":"Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education"},{"id":"01","description":"County governments"},{"id":"22","description":"For profit organizations other than small businesses"}]
Source ↗ · applicantTypes
applicantEligibilityDesc: Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-domestic (non-U.S.) Entities (Foreign Institutions).
Source ↗ · applicantEligibilityDesc
fundingInstruments: [{"id":"CA","description":"Cooperative Agreement"}]
Source ↗ · fundingInstruments
fundingActivityCategories: [{"id":"HL","description":"Health"}]
Source ↗ · fundingActivityCategories
costSharing: false
Source ↗ · costSharing
lastUpdatedDate: Aug 20, 2026 03:08:55 PM EDT
Source ↗ · lastUpdatedDate
status: forecasted
Source ↗ · oppHits[id=363678].oppStatus
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